On the numerical condition of polynomials in Berstein form
Computer Aided Geometric Design
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
SIAM Journal on Scientific Computing
How to Ensure a Faithful Polynomial Evaluation with the Compensated Horner Algorithm
ARITH '07 Proceedings of the 18th IEEE Symposium on Computer Arithmetic
Accurate simple zeros of polynomials in floating point arithmetic
Computers & Mathematics with Applications
Accurate Floating-Point Summation Part I: Faithful Rounding
SIAM Journal on Scientific Computing
Accurate Floating-Point Summation Part II: Sign, $K$-Fold Faithful and Rounding to Nearest
SIAM Journal on Scientific Computing
Accurate evaluation algorithm for bivariate polynomial in Bernstein-Bézier form
Applied Numerical Mathematics
Accurate evaluation of the k-th derivative of a polynomial and its application
Journal of Computational and Applied Mathematics
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In computer aided geometric design a polynomial is usually represented in Bernstein form. This paper presents two compensated algorithms to accurately evaluate a polynomial and its derivative in Bernstein form with floating point coefficients. The principle is to apply error-free transformation to improve traditional de Casteljau algorithm. Forward error analysis and numerical experiments illustrate the accuracy of our algorithms.